Location
London

Hours
Full Time

Salary
Competitive salary package

About the Role
dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. Employing nearly 2,500 experts across Europe, Asia, Africa, and the Americas, we work with transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever, and Metro.

We are seeking a Senior Applied Data Scientist who expects more from their career. This role offers the opportunity to apply your expertise to distil complex problems into meaningful, actionable insights by leveraging world-first science, cutting-edge machine learning techniques, and human creativity to deliver impactful solutions for clients.

As part of our advanced data science team, you will be responsible for the ongoing implementation, support, and development of complex models and applications. You will work alongside exceptionally talented colleagues who challenge and rewrite the rules rather than simply follow them. Our team collaborates closely with retailers to solve some of the most interesting and challenging problems in the category management space.

You will work collaboratively with client leadership teams to build solutions that are reusable, scalable, and deliver measurable value. You will drive change, shape innovative solutions, and actively redefine how organizations harness data.

Experience
- Proven experience in statistical modelling and applying data science solutions to real client problems
- Strong programming skills in Python and SQL; PySpark experience is highly advantageous
- Experience with version control tools such as GIT
- Background in retail analytics, especially exposure to Category Management, is advantageous
- Project management and/or team leadership experience
- Effective stakeholder management and ability to build trusted relationships across teams

About you
- Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field
- Solid understanding of analytical technologies, tools, and techniques
- Excellent logical thinking and problem-solving abilities
- Strong communication skills with the ability to explain complex concepts clearly to non-technical audiences
- Passion for connecting technical work to real customer outcomes, delivering clear and measurable impact

Qualifications
- Relevant degree as stated above
- Demonstrated ability to work in a collaborative, innovative environment